An Energy Efficient Data Gathering Scheme in Wireless Sensor Networks Using Adaptive Optimization Algorithm
Data aggregation is combination of data from sensor nodes which sends the data to the sink node or base station. Efficient data gathering mechanism assist in increasing the effectiveness of the system. In the present paper an energy competent data congregation format applicable to wireless
sensor networks is proposed. By using clustering algorithms, the sensor nodes are collected for selecting the potential positions of rendezvous points (RP). Based on the maximum weight the RP’s are used for transmission, the remaining RP’s are set to be in sleep state thereby conserving
energy. This procedure is adopted for efficient data gathering in a sensor network. Optimal path selection of mobile sink (MS) is performed using Adaptive Optimization Algorithm. The proposed model is implemented in NS2 networks and results show that the procedure adopted in the paper is more
efficient compared to the other existing methods.
Keywords: Adaptive Particle Swarm Optimization Algorithm; Data Gathering; Energy Efficient; Mobile Sink; Rendezvous Point; Wireless Sensor Network
Document Type: Research Article
Affiliations: 1: Research Scholar, Department of Electronics, Jain University, Bangalore 562112, India 2: Faculty of Electronics NMAM Institute of Technology, Mangalore 574110, India 3: Faculty of Management Studies, Jain University, Bangalore 560078, India
Publication date: 01 November 2018
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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